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I'm a little concerned because the documentation is ill-defined for what happens in this case: https://pytorch.org/docs/master/torch.html?highlight=bincount#torch.bincount . If we're trying to match numpy, we should probably make the docs clearer on what happens in this edge case. |
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Sure, I will clear up that as well. |
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@zou3519 Are we not allowed to create 0-element tensors anymore? It seems |
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It's working for me though I might not be on the latest master: I don't think we are disallowing empty tensor creation. edit: Tested on master and empty tensor creation works, maybe the error is something else? |
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It was an nit in the ordering of the |
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@pytorchbot retest this please |
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Is this good to go? |
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@pytorchbot retest this please. |
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@ailzhang Is this good to go? |
torch/_torch_docs.py
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| If the number of elements in :attr:`input` is 0, then the result is a tensor of size |
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torch/_torch_docs.py
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| Shape: | ||
| output (Tensor): ``Size([max(input) + 1])`` | ||
| output (Tensor): ``Size([max(input) + 1])`` if :attr:`input` is non-empty. |
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@pytorchbot retest this please |
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@ssnl Is this good to go? |
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soumith is landing this pull request. If you are a Facebook employee, you can view this diff on Phabricator.
Summary: Added tests too. Fixes pytorch#9756 . Pull Request resolved: pytorch#9757 Differential Revision: D8966879 Pulled By: soumith fbshipit-source-id: 9f08a9d5d5d037db16319141d7a227a5efa23869
Summary: Added tests too. Fixes pytorch#9756 . Pull Request resolved: pytorch#9757 Differential Revision: D8966879 Pulled By: soumith fbshipit-source-id: 9f08a9d5d5d037db16319141d7a227a5efa23869
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the merge got botched for this one. working on re-merging! |
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Summary: Added tests too. Fixes #9756 . Pull Request resolved: pytorch/pytorch#9757 Reviewed By: Yangqing Differential Revision: D9348485 Pulled By: soumith fbshipit-source-id: e13afadf8dbea20ee6ee595383c522dcbaf8796a
Added tests too. Fixes #9756 .